Availability evaluation of a video surveillance system with distributed storage

被引：0

作者：

Borges, Ivson ^{[1
]}

Andrade, Ermeson ^{[1
]}

Silva, Francisco Airton ^{[2
]}

Callou, Gustavo ^{[1
]}

机构：

[1] Univ Fed Rural Pernambuco, BR-52171900 Recife, PE, Brazil

[2] Univ Fed Piaui, BR-64600000 Picos, Piaui, Brazil

来源：

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2025年 / 28卷 / 04期

关键词：

Distributed storage; Availability; Modeling; Video surveillance; TIME;

D O I：

10.1007/s10586-024-04962-x

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Video surveillance systems serve various purposes, including access control, crime prevention, and internal security. However, storing data and images generated by these systems is challenging due to device volume, image quality, and storage demand. Evaluating the availability of video surveillance systems is crucial. Ensuring uninterrupted operation is essential, as system failures can compromise the effectiveness of such systems. This study proposes models in reliability block diagrams (RBD) and stochastic Petri nets (SPN) to analyze the availability of video surveillance systems. Moreover, the models are validated in a real testbed system, improving the trust in results. In addition, we propose new architectures based on availability importance indexes and consider hot and cold standby redundancies. The results show that an availability of 99.999% was achieved, representing a significant improvement and proving that models can support planning computational infrastructures for video surveillance systems.

引用

页数：18

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